October 10, 2012
VIENNA, Austria, Oct. 10 — Today at the Bio-IT World conference in Vienna, CLC bio officially released the white paper on its new read mapping algorithm, which is included in the current releases of CLC Genomics Workbench version 5.5 and CLC Genomics Server version 4.5. The white paper covers four human datasets from the Illumina GAII, Roche 454 Titanium, Life Technologies Ion Torrent PGM, and PacBioRS platforms, and benchmarks CLC bio's read mapper for performance and accuracy against the open source read mappers BWA, Bowtie2, and SMALT.
Highlights from the white paper include mapping of almost 99% of 1.34 billion paired-end Illumina reads in 5 hours, compared to 28 hours and 99% for Bowtie2, 41 hours and 96% for SMALT, and 60 hours and 95% for BWA. CLC bio's new read mapper scales extremely well with multi-processor machines, enabling up to 35-fold decrease in time to finish a read mapping, and delivers the highest accuracy in almost all the benchmarks.
Program Director of World-wide Deep Computing in Life Sciences at IBM, Janis E. Landry-Lane, states, "IBM has been productively engaged with CLC bio for nearly two years. This collaboration has focused on optimizing the performance of the CLC Assembly Cell de novo and reference mapping. We have achieved remarkable results, and, I believe, performance of this order will be required for the rigorous demands of genomics research. We look forward to serve our customers together."
Bioinformatics Specialist at CLC bio, J.-Uwe Appelt, PhD, states "PacBio is popular for de novo projects, as its long reads are ideal for scaffolding and currently BWA is considered the best open source read mapper for PacBio data. However, this benchmark white paper proves that our new mapper, mapping 46% of the reads correctly, outperforms BWA which got 5% correct and resulted in a high false discovery rate. One of the reasons behind the strong performance of our new read mapper is that it automatically adapts to arbitrary error-modes, which means the users don't even have to tweak the parameter settings to get the best results."
Download the white paper
Read an executive brief on the benchmarks and download the white paper here:
http://www.clcbio.com/link.php?id=298
About CLC bio
-----
Source: CLC bio
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
Read more...
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.